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Cloud Economics drive the IT Infrastructure of Tomorrow

Cloud Economics drive the IT Infrastructure of Tomorrow

The cloud continues to dominate IT as businesses make their infrastructure decisions based on cost and agility. Public cloud, where shared infrastructure is paid for and utilized only when needed, is the most popular model today. However, more and more organizations are addressing security concerns by creating their own private clouds. As businesses deploy private cloud infrastructure they are adopting techniques used in the public cloud to control costs. Gone are the traditional arrays and network switches of the past, replaced with software-defined data centers running on industry standard servers.

Efficiency features make the cloud model more effective by reducing costs and increasing data transfer speeds. One such feature, which is particularly effective in cloud environments, is inline data reduction. This is a technology that can be used to lower the costs of data in flight and at rest. In fact, data reduction delivers unique benefits to each of the cloud deployment models.

Public Clouds

The public cloud’s raison d’etre is its ability to deliver IT business agility, deployment flexibility and elasticity. As a result new workloads are increasingly deployed in public clouds.  Worldwide public IT cloud service revenue in 2018 is predicted to be $127B.

Data reduction technology minimizes public cloud costs. For example, deduplication and compression typically cut capacity requirements of block storage in enterprise public cloud deployments by up to 6:1.  These savings are realized in reduced storage consumption and operating costs in public cloud deployments.

Consider AWS costs employing data reduction;

If you provision a 300TB of EBS General Purpose SSD (gp2) storage for 12 hours per day over a 30 day month in a region that charges $0.10 per GB-month, you would be charged $15,000 for the storage.

With data reduction, that monthly cost of $15,000 would be reduced to $2,500.  Over a 12 month period you will save $150,000.   Capacity planning is a simpler problem when it is 1/6th its former size.  Bottom line, data reduction increases agility and reduces costs of public clouds.

One data reduction application that can readily be applied in public cloud is Permabit’s Virtual Disk Optimizer (VDO) which is a pre-packaged software solution that installs and deploys in minutes on Red Hat Enterprise Linux and Ubuntu LTS Linux distributions.  To deploy VDO in Amazon AWS, the administrator provisions Elastic Block Storage (EBS) volumes, installs the VDO package into their VMs and applies VDO to the block devices represented for their EBS volumes.  Since VDO is implemented in the Linux device mapper, it is transparent to the applications installed above it.

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